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OCP High Performance Compute (HPC)

OCP High Performance Compute (HPC) is an Open Compute Project (OCP) domain that defines and curates open hardware specifications, platform designs, and reference architectures for high‑performance computing infrastructure in hyperscale and enterprise data centers (category: data center hardware / High performance computing (HPC) infrastructure).

  • Open, vendor-neutral specifications for HPC servers, accelerators, and interconnect-focused platforms (category: hardware specification).
  • Designs and guidelines for power, cooling, and rack-level integration tailored to dense compute workloads (category: data center infrastructure).
  • Reference architectures for Central Processing Unit (CPU), Graphics Processing Unit (GPU), and accelerator-based clusters supporting HPC and Artificial Intelligence (AI) workloads (category: compute infrastructure).
  • Collaboration forum for operators, hardware vendors, and integrators around standardised HPC building blocks (category: industry collaboration).
  • Alignment of HPC hardware designs with broader OCP data center standards, including racks, power delivery, and manageability (category: ecosystem integration).

More About OCP High Performance Compute (HPC)

OCP High Performance Compute (HPC) operates within the Open Compute Project as a domain that focuses on open specifications and platform designs for high‑performance computing systems in data centers. The project addresses requirements for dense compute clusters that run scientific, engineering, analytics, and AI workloads, with attention to power delivery, thermal management, and high‑bandwidth interconnects. Its goal is to document, standardise, and share hardware design approaches that are compatible with OCP’s open hardware philosophy.

The OCP HPC domain concentrates on hardware and system-level design (category: data center hardware / HPC infrastructure). It covers server architectures that integrate high core-count CPUs, GPUs, and other accelerators, as well as node, rack, and cluster-level layouts tailored to HPC and AI use cases. Documents and specifications from this domain typically describe mechanical form factors, board layouts, power input options, and cooling approaches such as Adaptive Incident Response (AIR) or liquid solutions. They also align with OCP rack and power distribution standards, so that HPC nodes can be deployed within OCP-compliant racks and facilities.

In enterprise and institutional environments, OCP High Performance Compute (HPC) is used as a reference for planning and procuring hardware that matches OCP-compatible data center standards (category: infrastructure planning). Operators of on-premises (on-prem) clusters and colocation environments can use the project’s materials to align server and accelerator configurations with existing OCP racks, bus bars, and power shelves, while accounting for the higher power densities associated with HPC workloads. The project also supports integrators and OEMs that design systems targeting OCP data centers.

Architecturally, the OCP HPC domain sits at the intersection of compute nodes, interconnect fabric, and facility infrastructure (category: systems architecture). It does not define software stacks, schedulers, or programming models, but instead focuses on the physical platforms on which such software runs. Its documents often reference interoperability concerns such as compatibility with OCP rack widths, depth and height constraints, and standardised power and management interfaces adopted across OCP projects.

For enterprises, OCP High Performance Compute (HPC) provides a structured way to evaluate and adopt hardware for compute-intensive environments while maintaining alignment with open data center standards (category: procurement and standardisation). In a technical directory, it fits under open hardware specifications for high‑performance computing infrastructure, closely related to OCP server, rack, and data center facility projects, and provides context for organizations designing or operating HPC and AI clusters within OCP-based environments.